The graph represents a network of 5,255 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 August 2021 at 00:42 UTC.
The requested start date was Friday, 06 August 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 16-hour, 57-minute period from Sunday, 01 August 2021 at 07:03 UTC to Friday, 06 August 2021 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5255
Unique Edges : 4216
Edges With Duplicates : 14164
Total Edges : 18380
Number of Edge Types : 5
Tweet : 1003
Retweet : 5851
MentionsInRetweet : 8069
Mentions : 3225
Replies to : 232
Self-Loops : 1099
Reciprocated Vertex Pair Ratio : 0.0213076829416778
Reciprocated Edge Ratio : 0.041726275631855
Connected Components : 533
Single-Vertex Connected Components : 263
Maximum Vertices in a Connected Component : 3864
Maximum Edges in a Connected Component : 16161
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.81716
Graph Density : 0.000303805500733979
Modularity : 0.409257
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,255 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 August 2021 at 00:42 UTC.
The requested start date was Friday, 06 August 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 16-hour, 57-minute period from Sunday, 01 August 2021 at 07:03 UTC to Friday, 06 August 2021 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : smartcity OR smartcities
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1679] ப,க [1480] ந,த [1469] த,ம [1469] ம,க [1468] த,ட [1461] #smartcity,என [1461] என,ற [1409] #iot,#iiot [1408] ச,ல [978] பட,ட Top Word Pairs in Tweet in G1:
[1659] ப,க [1471] ந,த [1460] த,ம [1460] ம,க [1460] த,ட [1454] #smartcity,என [1454] என,ற [1396] ச,ல [963] பட,ட [955] ட,கள Top Word Pairs in Tweet in G2:
[1389] #iot,#iiot [907] #rstats,#reactjs [809] #ai,#python [776] #machinelearning,#ai [776] #python,#rstats [764] #analytics,#machinelearning [735] #reactjs,#iot [550] #iiot,#iotpl [534] #iiot,#linux [396] #iotpl,#iotcommunity Top Word Pairs in Tweet in G3:
[24] mohua_india,build [24] build,smarter [24] smarter,cities [24] cities,power [24] power,data [24] data,analytics [24] analytics,#smartcity [23] aws_gov,mohua_india [21] 7th,edition [21] edition,virtual Top Word Pairs in Tweet in G4:
[21] ガイアックスが日本初の,スマートシティ実現に向けたlidarデータ活用アイデアソン [21] スマートシティ実現に向けたlidarデータ活用アイデアソン,ハッカソン [20] ハッカソン,を9月30日開催 [17] smart,cities [17] self,driving [17] driving,cars [17] cars,record [17] record,driving [17] driving,scene [17] scene,detect Top Word Pairs in Tweet in G5:
[133] ट,स [87] स,म [85] स,ट [74] र,ट [74] म,र [71] म,ल [64] न,म [63] व,ल [63] ल,ग [62] क,र Top Word Pairs in Tweet in G6:
[15] smart,city [14] smart,cities [10] smartcityexpo,#circularcities [10] #circularcities,cities [10] cities,become [10] become,#circular [10] #circular,#infographics [10] #infographics,smartcityexpo [10] smartcityexpo,circularesummit [10] circularesummit,#smartcities Top Word Pairs in Tweet in G7:
[5] gvmc_official,coc_gvmc [4] coc_gvmc,vizag_smartcity [4] vizag_smartcity,andhrapradeshcm [3] andhrapradeshcm,gummallasrijana [2] uppuluric,gntrailusersasn [2] gntrailusersasn,visakhapatnamjn [2] visakhapatnamjn,chukchukrail [2] chukchukrail,tirupatiuk [2] tirupatiuk,vizag_smartcity [2] vizag_smartcity,kadapa_realtime Top Word Pairs in Tweet in G8:
[36] smart,cities [31] g20,global [31] global,smart [31] cities,alliance [31] alliance,roadmap [31] roadmap,organized [31] organized,around [31] around,five [31] five,core [31] core,principles Top Word Pairs in Tweet in G9:
[10] world,economic [10] economic,forum [9] forum,#smartcities [8] port,cities [8] cities,include [8] include,#smartbuildings [8] #smartbuildings,capable [8] capable,adapting [8] adapting,changing [8] changing,sea Top Word Pairs in Tweet in G10:
[47] true,#smartcity [47] #smartcity,stuff [47] stuff,#bhubaneswar [47] #bhubaneswar,becomes [47] becomes,first [47] first,city [47] city,india [47] india,vaccinate [47] vaccinate,100 [47] 100,population Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: